CN115392476A - Intelligent twin in unmanned cooperative combat system - Google Patents
Intelligent twin in unmanned cooperative combat system Download PDFInfo
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Abstract
The invention belongs to the technical field of artificial intelligence and command control, and relates to a digital twin body with or without a battle marshalling. An intelligent twin in an unmanned cooperative combat system, comprising: the system comprises a perception control module, a twin equipment data model, an interaction module, a command control interface module, a model training and learning module and a message communication module; the invention realizes the virtualization of the self state of the equipment, the carried loading capacity and the physical environment of the equipment in the physical world, and realizes the control of the physical equipment according to the upper application. For upper-layer application, the intelligent twin body realizes flexible combination and arrangement of resources according to application requirements, realizes decomposition of tasks, provides a solution, deduces and evaluates the solution in a match space, and provides a basis for constructing a high-quality solution. The intelligent twin bodies have intelligent interaction capacity, the capacity and the state of other intelligent twin bodies can be known, and learning optimization results and response experience of unknown situations of other twin bodies are obtained.
Description
Technical Field
The invention belongs to the technical field of artificial intelligence and command control, and relates to a digital twin body with or without a battle marshalling.
Background
With the increasing military application of artificial intelligence technology, unmanned systems and the internet of things, the intelligent war becomes the inevitable trend of future war. After the network center battle, the united states successively proposes the battle concepts such as mosaic battle, decision center battle, united universe battle, and the like. Network central warfare is based on the high transparency of battlefield environment and the high control power to the operation platform to realize "full interconnection", however, the battlefield has strong antagonism, the communication also faces strong interference, and "full interconnection" faces more and more challenges.
In an intelligent operation system, intelligence can permeate each operation link, the operation platform is unmanned and intelligent, and is distributed and deployed in the depth of a whole battlefield and fused with each unit and element of the operation system, so that the network system has more thorough perception, more efficient command, more accurate striking and more free interconnection. The novel operation mode is characterized in that the standard functional units are randomly and quickly matched and combined in a mode of combining human command and machine control, more operation elements with smaller volume and single function are integrated into more unmanned and autonomous systems on a functional level, a killing network with self-adaptability and flexibility is constructed, the force structure layout can be timely adjusted according to the situation change of a battlefield, the operation plan action is changed, the maximum effect is exerted in a proper place, the operation target of an enemy is finally confused, the 'battlefield fog' is caused, and the dominant advantage in system confrontation is obtained.
The future intelligent combat system mainly presents the following four characteristics, namely, the unmanned degree is higher and higher, the cooperation level of people and nobody is deeper, the combat unit recombination is more flexible and sensitive, and the combat command emphasizes dynamic deduction.
Deep analysis of advanced combat styles and key characteristics of strong enemies can find that one of keys formed by system capability in the next generation of combat concepts is virtualization of combat marshalling, and the intelligent application of the match-betting space is realized through virtualization of combat resources to form the capability of 'virtual-real cooperation and virtual-real control'. Therefore, it is necessary to construct a digital twin with or without a battle marshalling to provide a link between the space of the competition and the physical space.
Disclosure of Invention
The purpose of the invention is: aiming at the requirements of construction of an intelligent combat system in the background technology, an intelligent twin in a cooperative combat system with or without people is provided.
The technical scheme of the invention is as follows: an intelligent twin in a cooperative combat system with or without human, comprising: the system comprises a perception control module, a twin equipment data model, an interaction module, a command control interface module, a model training and learning module and a message communication module.
The perception control module is used for realizing perception and control of equipment in a physical space, perception of equipment capacity and perception of a physical space environment.
The twin device data model is a twin data model of the device in the physical space constructed.
The interaction module is used for realizing mutual communication among a plurality of intelligent twins and communication between the intelligent twins and workers.
And the command control interface module is used for realizing the interaction between the intelligent twin and the command control system in the competition space.
The model training and learning module is used for continuously improving the capability of intelligent twin bodies.
And the message communication module is used for realizing communication among the modules in the intelligent twin.
The six modules are basic modules of the intelligent twin, and the functions of the intelligent twin can be further enriched by adding modules of network, safety, communication perception and the like according to the application environment.
On the basis of the above scheme, further, the main function of the sensing control module is to realize interaction with the physical world, i.e. the physical domain, through the access network, and the sensing control module includes: device control, device awareness, environment awareness, and interactive interfaces and protocols; the equipment sensing can realize the sensing of the self condition of the equipment and the sensing of the equipment capability; the environment perception is realized by realizing perception, modeling and cognition of a physical environment through the perception capability of an intelligent twin body, detecting perception data of the physical environment is acquired to the intelligent twin body, a physical domain is reproduced in a virtual space, and a parallel physical environment is constructed; the equipment control gives an instruction to the equipment to realize the control of the equipment; the device control, the device perception and the environment perception realize the perception of the device and the capability thereof and the control of the device through an interactive interface and a protocol.
On the basis of the above scheme, further, the twin device data model includes: a device base model, a resource pool, a capability package and a log; the equipment basic model is a basic description of the equipment; a resource pool is a description of the capabilities that a device possesses; the capability package is combined with the basic model and the resource pool of the equipment to package the resources of the equipment, and a plurality of resources and a group of commands are combined to form the initial capability of the equipment; the log is a history data record of the equipment, and comprises a series of history data records of the running state, the execution task and the like of the equipment.
On the basis of the above scheme, further, the interaction module includes: intelligent communication, safety management and man-machine interaction; the intelligent communication realizes the interaction between intelligent twin bodies, and the intelligent twin bodies can send environment information perceived by the twin bodies, task information executed by the twin bodies, emergencies and response strategies faced by the twin bodies and the like to other intelligent twin bodies through an intelligent communication function, so that experience and data are provided for the improvement of the capability of other intelligent twin bodies; the intelligent twin is a key hub for connecting the physical domain and the competition domain, so that the safety of the intelligent twin is guaranteed, the intelligent twin is not attacked and held by hackers, and the intelligent twin is the basis for normal operation of the whole system, and therefore, the safety management is used for providing a protection mechanism required by the intelligent twin; the man-machine interaction is an interaction interface provided for workers, and the state display, configuration and management of the workers on the intelligent twin body are supported. Furthermore, the functions of the interactive module are not limited to these three parts of functions, and can be expanded according to the requirements.
On the basis of the scheme, further, the command control interface module is an interactive interface of the intelligent twin and the command control system, and a decision support unit of the command control system can realize interaction with the intelligent twin through a bidding mechanism; the command control interface module comprises: task signing, quick response template and task management; the task signatory asks for tasks on the basis that the intelligent twin body has the ability to complete tasks issued by the command control system; the quick response template records tasks and execution modes frequently executed by equipment and forms a response mode for common tasks; task management records tasks being performed, tasks that have been performed, and assessments of tasks that have been performed.
On the basis of the scheme, the model training and learning module trains and optimizes the algorithm of the intelligent twin based on the parallel environment constructed facing the physical space, the basic model of the intelligent twin and the historical data of the intelligent twin, so that on one hand, the response to a new scene is realized, on the other hand, the existing algorithm is optimized, and the capability of the intelligent twin is continuously improved.
On the basis of the above scheme, further, the command control system includes: a decision support unit and a bidding unit; the decision support unit issues the battle tasks to the intelligent twin in a bidding mode through the bidding unit; the intelligent twin body integrates the perception of the extracted equipment and the ability thereof in the physical space, and inputs the battlefield situation and the monitoring resources and the communication state of the operational elements to the decision support unit by combining the perception of the physical environment; the decision support unit decomposes and distributes the combat mission to the appropriate intelligent twin through the bidding unit based on the input information.
Furthermore, the intelligent twin body and command control system adopts a side-end integrated design to integrate an edge computing and fighting platform, the decision support unit is arranged in the core cloud, and the intelligent twin body is arranged in the edge cloud, so that the intelligent twin body and command control system has side-end integrated scene cognition and response capability.
Has the advantages that: the invention provides a link between a Saybook space and a physical space. The method realizes virtualization of the state of the equipment per se in the physical world, virtualization of the loading capacity carried by the physical equipment, virtualization of the physical environment in which the equipment is located and control over the physical equipment according to the upper application. For upper-layer application, the intelligent twin body realizes interaction with an application demand side in the competition space, realizes flexible combination and arrangement of resources according to application demands, realizes decomposition of tasks, provides a solution, deduces and evaluates the solution in the competition space, and provides a basis for constructing a high-quality solution. And for other intelligent twins, the intelligent twin has intelligent interaction capacity, the capacity and the state of other intelligent twins in the same physical domain can be known, and learning optimization results and response experience of unknown scenes of other twins are obtained.
Drawings
FIG. 1 is a schematic diagram of an architecture of embodiment 1 of the present invention;
FIG. 2 is a schematic diagram of an architecture of embodiment 2 of the present invention;
fig. 3 is a schematic diagram of interaction with a command control system and a combat formation in a physical space in embodiment 3 of the present invention;
FIG. 4 is a flow chart of the method described in embodiment 4 of the present invention;
in the figure: the system comprises a 1-intelligent twin body, a 11-perception control module, a 12-twin equipment data model, a 13-interaction module, a 14-command control interface module, a 15-model training and learning module, a 16-message communication module, a 2-command control system, a 21-decision support unit, a 22-bidding unit and a 3-equipment.
Detailed Description
Example 1: referring to fig. 1, an intelligent twin 1 in a cooperative combat system with or without human includes: the system comprises a perception control module 11, a twin equipment data model 12, an interaction module 13, a command control interface module 14, a model training and learning module 15 and a message communication module 16.
The perception control module 11 is used for realizing perception and control of the device 3 in the physical space, perception of the capability of the device 3, and perception of the environment of the physical space.
The twin device data model 12 is a twin data model of the device 3 in the physical space constructed.
The interaction module 13 is used for realizing mutual communication among a plurality of intelligent twins 1 and communication between the intelligent twins 1 and staff.
The command control interface module 14 is used for realizing the interaction of the intelligent twin 1 and the command control system 2 in the competition space.
The model training and learning module 15 is used to continuously improve the ability of the intelligent twins 1.
The message communication module 16 is used for realizing communication between modules in the intelligent twin 1.
The six modules are basic modules of the intelligent twin body 1, and the functions of the intelligent twin body can be further enriched by adding modules such as a network module, a safety module, a communication perception module and the like according to an application environment. The intelligent twinner 1 provides a link to physical space in the tournament space. The effective sensing and control of combat resources and the cognitive understanding of a battlefield environment are realized by orienting to a physical space, and the capacity of acting electromagnetic space resources is reserved; the virtual space oriented virtual space provides the capability of interacting with a command control system and provides the capability of coordinating resources such as network, calculation, storage and the like under the driving of a combat task. Specifically, the method is oriented to typical combat marshalling formed by edge combat nodes such as manned units, unmanned vehicles, unmanned aerial vehicles and the like, combat resources are driven and integrated through combat tasks, a virtual abstract combat entity is formed, manned combat units are enabled not to pay attention to various combat resources of unmanned units and detailed distribution of the combat resources, therefore, the method focuses on upper layer command control services in the abstract combat entity, the abstract combat entity can call resources and capabilities of all units as required, the problem that heterogeneous unmanned system command and control form bottom layer split is solved, and a basis is provided for constructing unified, convenient and safe full-scene digital smooth command and control.
Example 2: referring to fig. 2, on the basis of embodiment 1, the perception control module 11, the twin device data model 12, the interaction module 13, the command control interface module 14, the model training and learning module 15, and the message communication module 16 are further defined.
The main function of the sensing control module 11 is to realize interaction with the physical world, i.e. the physical domain, through the access network, and the sensing control module 11 includes: device control, device awareness, environment awareness, and interactive interfaces and protocols; the equipment sensing can realize the sensing of the self condition of the equipment 3, such as sensing the oil state of the equipment, the health state of the equipment and the like, and the sensing of the capability of the equipment 3, such as sensing the reconnaissance capability, the striking capability, the communication interference capability and the like of the equipment; the environment perception is to realize perception, modeling and cognition of a physical environment through the perception capability of an intelligent twin body, for example, detection perception data of the physical environment is acquired to the intelligent twin body through a perception unit such as a visual camera, a laser radar and a millimeter wave radar, a physical domain is reproduced in a virtual space through algorithms such as SLAM composition and the like, and a parallel physical environment is constructed; the equipment control gives an instruction to the equipment 3 to realize the control of the equipment 3; the device control, the device perception and the environment perception realize the perception of the device 3 and the capability thereof and the control of the device 3 through an interactive interface and a protocol.
The twin device data model 12 includes: a device base model, a resource pool, a capability package and a log; the equipment foundation model is a foundation description of the equipment 3, taking a quad-rotor unmanned aerial vehicle as an example, and comprises a rigid body model, a dynamic model and a kinematic model of the quad-rotor unmanned aerial vehicle; the resource pool is description of the capability of the equipment 3, taking a quad-rotor unmanned aerial vehicle as an example, if the unmanned aerial vehicle has the striking capability, the intelligent twin body obtains corresponding data of the striking capability of the unmanned aerial vehicle through the perception control module, abstracts the obtained striking capability into striking capability resources of the resource pool, and encapsulates striking capability parameters; if the unmanned aerial vehicle has the communication relay capability, the intelligent twin body obtains the description of the communication relay capability of the unmanned aerial vehicle through the perception control module, and encapsulates the coverage range of the communication relay and key parameters such as communication performance; the capability package combines the basic model and the resource pool of the equipment to package the resources of the equipment 3, and combines a plurality of resources and a group of commands to form the initial capability of the equipment; the log is a history data record of the device 3, and comprises a series of history data records of the running state of the device, the execution task and the like.
The interaction module 13 includes: intelligent communication, safety management and man-machine interaction; the intelligent communication realizes the interaction between the intelligent twin bodies 1, the intelligent twin bodies can send environment information perceived by the twin bodies, task information executed by the twin bodies, emergencies and response strategies faced by the twin bodies and the like to other intelligent twin bodies through an intelligent communication function, and experience and data are provided for the improvement of the capability of other intelligent twin bodies; because the intelligent twin is a key hub for connecting the physical domain and the competition domain, the safety of the intelligent twin is guaranteed, the intelligent twin is not attacked and held by hackers, and the intelligent twin is the basis for the normal operation of the whole system, so that the safety management is used for providing a protection mechanism required by the intelligent twin 1; the man-machine interaction is an interaction interface provided for workers, and the state display, configuration and management of the workers on the intelligent twin body 1 are supported. Further, the functions of the interaction module 13 are not limited to these three functions, and may be expanded according to the requirements.
The command control interface module 14 is an interactive interface between the intelligent twin 1 and the command control system 2, and the decision support unit 21 of the command control system 2 can realize interaction with the intelligent twin 1 through a bidding mechanism; the command control interface module 14 includes: task signing, quick response template and task management; the task endorsement asks for the task on the basis that the intelligent twin 1 has the ability to complete the task issued by the command control system 2; the quick response template records the tasks and the execution modes frequently executed by the equipment 3, and forms a response mode for common tasks; task management records tasks being performed, tasks that have been performed, and assessments of tasks that have been performed.
The model training and learning module 15 trains and optimizes the algorithm of the intelligent twin based on the parallel environment constructed facing the physical space, the basic model of the intelligent twin and the historical data of the intelligent twin, so as to realize the response to a new scene, optimize the existing algorithm and continuously improve the capability of the intelligent twin.
Example 3: referring to fig. 3, on the basis of embodiment 2, further,
the command control system 2 includes: a decision support unit 21 and a bidding unit 22; the decision support unit 21 issues the battle mission to the intelligent twin 1 in a bidding mode through the bidding unit 22; the intelligent twin 1 integrates the perception of the equipment 3 and the capability thereof in the extracted physical space, and inputs the battlefield situation and the monitoring resource and the communication state of the operational elements to the decision support unit 21 by combining the perception of the physical environment; the decision support unit 21 decomposes and distributes the engagement mission via the bidding unit 22 to the appropriate intelligent twins 1 based on the entered information.
In this example, specifically, the decision support unit 21 and the intelligent twin 1 implement a split distribution of tasks by using a contract network protocol, in which the decision support unit 21 issues a task to a plurality of intelligent twin 1, and each intelligent twin 1 proposes an implementation scheme according to its resources and capabilities. The decision support unit 21 decides how to distribute tasks to the different intelligent twins 1 and then to distribute the workload. In the process of executing the task, the decision support unit 21 adjusts the task allocation and the workload by combining the battlefield situation and the monitoring resources and the communication state of the operational elements, and keeps the optimal operational scheme until the task goal is completed.
Furthermore, the intelligent twin body 1 and the command control system 2 adopt a side-end integrated design to integrate an edge computing and fighting platform, the decision support unit 21 is arranged in a core cloud, and the intelligent twin body 1 is arranged in an edge cloud, so that the intelligent twin body has side-end integrated scene cognition and response capability.
Embodiment 4, referring to fig. 4, on the basis of embodiment 3, further, a situation awareness-based scene adaptive cooperative command control method is provided.
The method comprises the following steps:
the method comprises the following steps:
A. the decision support unit 21 provides tasks according to the combat intentions of the commander;
B. the competitive bidding unit 22 issues task information to the intelligent twin 1 in a negotiation interaction manner;
C. the intelligent twin body 1 evaluates the received task by combining the self state and the resource and selects to accept the task or reject the task; if the task is accepted, executing the step D, and if the task is rejected, ending the step;
D. the intelligent twin 1 sends the proposal information of the implementation scheme, the self state and the resource to the decision support unit 21;
E. the decision support unit 21 evaluates the proposed implementation of the intelligent twin 1 and determines whether the intelligent twin 1 is capable of performing the task; if yes, executing step F, if no, ending the step;
F. the decision support unit 21 feeds back the task allocation scheme to the intelligent twin 1, and the intelligent twin 1 sends an instruction to the combat units in the unmanned combat formation;
G. the intelligent twin body 1 evaluates the task execution effect by combining the extracted battlefield situation, the monitoring resources of the operational elements and the communication state while the unmanned operational formation executes the task, forms feedback information and sends the feedback information to the decision support unit 21;
H. and the decision support unit 21 evaluates the execution condition of the battle task according to the feedback information to form new task information, and the process is circulated to the step B until the task is completed.
Although the invention has been described in detail above with reference to a general description and specific examples, it will be apparent to one skilled in the art that modifications or improvements may be made thereto based on the invention. Accordingly, such modifications and improvements are intended to be within the scope of the invention as claimed.
Claims (8)
1. An intelligent twin (1) in a cooperative combat system with or without human beings, characterized in that it comprises: the system comprises a perception control module (11), a twin equipment data model (12), an interaction module (13), a command control interface module (14), a model training and learning module (15) and a message communication module (16);
the perception control module (11) is used for realizing perception and control of equipment (3) in a physical space, perception of the capacity of the equipment (3) and perception of the environment of the physical space;
the twin device data model (12) is a built twin data model of a device (3) in the physical space;
the interaction module (13) is used for realizing mutual communication among a plurality of intelligent twins (1) and communication among the intelligent twins (1) and staff;
the command control interface module (14) is used for realizing the interaction between the intelligent twin body (1) and the command control system (2) in the competition space;
the model training and learning module (15) is used for continuously improving the capability of the intelligent twin (1);
the message communication module (16) is used for realizing communication among modules in the intelligent twin (1).
2. An intelligent twin (1) in a cooperative combat system with or without human according to claim 1, wherein the perception control module (11) comprises: device control, device awareness, environment awareness, and interactive interfaces and protocols; the device perception enables perception of the status of the device (3) itself and perception of the capabilities of the device (3); the environment perception realizes the perception, modeling and cognition of a physical space, a physical domain is reproduced in a virtual space, and a parallel physical environment is constructed; the equipment control gives an instruction to the equipment (3) to realize the control of the equipment (3); the device control, the device awareness, the environment awareness enable awareness of the device (3) and its capabilities, control of the device (3) through the interactive interface and protocol.
3. An intelligent twin (1) in a manned and unmanned cooperative combat system according to claim 2, wherein the twin device data model (12) comprises: a device base model, a resource pool, a capability package and a log; the device base model is a base description of the device (3); the resource pool is a description of capabilities possessed by the device (3); the capability package combines the equipment basic model and the resource pool to package the resources of the equipment (3) to form the initial capability of the equipment; the log is a history data record of the device (3).
4. An intelligent twin (1) in a collaborative combat system according to claim 3, wherein the interaction module (13) comprises: intelligent communication, safety management and man-machine interaction; the intelligent communication enables interaction between the intelligent twins (1); the security management providing protection mechanisms required by the intelligent twins (1); the man-machine interaction is an interaction interface provided for workers, and the state display, configuration and management of the workers on the intelligent twin body (1) are supported.
5. An intelligent twin (1) in a manned and unmanned cooperative combat system according to claim 4 wherein the command and control interface module (14) comprises: task signing, quick response template and task management; the task endorsement claims a task on the basis that the intelligent twin (1) has the ability to complete a task assigned by the command and control system (2); the quick response template records tasks and execution modes frequently executed by the equipment (3) to form a response mode for common tasks; the task management records tasks being performed, tasks that have been performed, and assessments of tasks that have been performed.
6. The intelligent twin (1) in the unmanned cooperative combat system according to claim 5, wherein the model training and learning module (15) trains and optimizes the algorithm of the intelligent twin based on the parallel environment constructed facing the physical space, the basic model of the intelligent twin, and the historical data of the intelligent twin.
7. An intelligent twin (1) in a cooperative warfare with or without human system according to claim 1, wherein the command and control system (2) comprises: a decision support unit (21) and a bidding unit (22);
the decision support unit (21) issues a battle mission to the intelligent twin (1) in a bidding mode through the bidding unit (22);
the intelligent twin body (1) integrates the perception of the equipment (3) and the ability thereof in the extracted physical space, and inputs the battlefield situation and the monitoring resources and the communication state of the operational elements to the decision support unit (21) by combining the perception of the physical environment;
the decision support unit (21) resolves and distributes the engagement mission by means of the bidding unit (22) to the appropriate intelligent twins (1) based on the entered information.
8. The intelligent twin (1) in the unmanned cooperative combat system according to claim 1, wherein the intelligent twin (1) and the command control system (2) adopt a side-end integrated design to integrate an edge computing and combat platform, the decision support unit (21) is arranged in a core cloud, and the intelligent twin (1) is arranged in an edge cloud.
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| CN116452306A (en) * | 2023-03-03 | 2023-07-18 | 中国人民解放军军事科学院系统工程研究院 | Bid distribution method for intelligent combat task |
| CN116452306B (en) * | 2023-03-03 | 2023-10-10 | 中国人民解放军军事科学院系统工程研究院 | Bid distribution method for intelligent combat task |
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